@misc{Dumbill.,
 abstract = {It's the hot trend in software right now, but what does big data mean, and how can you exploit it? Strata chair Edd Dumbill presents an introduction and orientation to the big data landscape.},
 author = {Dumbill, Edd},
 year = {11.01.2012},
 title = {What is big data? - Strata: An introduction to the big data landscape.},
 howpublished = {http://strata.oreilly.com/2012/01/what-is-big-data.html},
 keywords = {Big data;data science;data science teams;Planning for Big Data},
 lastchecked = {05.10.2013}
}


@phdthesis{FrancisDiebold.2000,
 author = {{Francis Diebold}},
 title = {{\dq}Big Data{\dq} Dynamic Factor Models for Macroeconomic Measurement and Forecasting},
 lastchecked = {05.10.2013},
 school = {{University of Pennsylvania and NBER}},
 originalyear = {Juli 2000}
}


@book{Gates.2011,
 abstract = {Annotation},
 author = {Gates, Alan},
 year = {2011},
 title = {Programming Pig},
 address = {Sebastopol and CA},
 edition = {1st ed},
 publisher = {O'Reilly}
}


@book{Hewitt.2011b,
 author = {Hewitt, Eben},
 year = {2011},
 title = {Cassandra: the definitive guide: [distributed data at web scale]},
 address = {Beijing [u.a.]},
 edition = {1. ed},
 publisher = {O'Reilly}
}


@article{Klein.2013,
 author = {Klein, Dominik u.a.},
 year = {2013},
 title = {Big Data},
 pages = {319-323},
 volume = {36},
 number = {3},
 issn = {0170-6012},
 journal = {Informatik-Spektrum}
}


@book{Mohanty.2013,
 author = {Mohanty, Soumendra und Jagadeesh, Madhu und Srivatsa, Harsha},
 year = {2013},
 title = {Big data imperatives: Enterprise big data warehouse, BI implementations and analytics},
 keywords = {Big data;Business intelligence;Information technology;Electronic data processing;Data mining;Strategic planning},
 address = {New York},
 publisher = {Apress}
}


@book{Venner.2009,
 abstract = {{\dq}You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to structure your first cloud--computing tasks using Hadoop. Learn how to let Hadoop take care of distributing and parallelizing your software--you just focus on the code, Hadoop takes care of the rest{\dq}--Resource description p.},
 author = {Venner, Jason},
 year = {2009},
 title = {Pro Hadoop},
 address = {Berkeley and CA},
 publisher = {Apress},
 series = {The expert's voice in open source}
}


@misc{vincent.2012,
 abstract = {Big Data has become the Information Management catch phase of 2012, this post explores where it came from and why it is so popular.},
 author = {{Vincent McBurney}},
 year = {31.05.2012},
 title = {The Origin and Growth of Big Data Buzz},
 howpublished = {http://it.toolbox.com/blogs/infosphere/the-origin-and-growth-of-big-data-buzz-51509},
 keywords = {Big data;buzz;origin;coined},
 lastchecked = {05.10.2013}
}

@article{laney.2001,
 author = {{Doug Laney}},
 title = {3D Data Management: Controlling Data Volume, Velocity, and Variety, Application Delivery Strategies},
 lastchecked = {05.10.2013},
 originalyear = {06.02.2001}
}

@book{Fischer.2011b,
 author = {Fischer, Peter und Hofer, Peter},
 year = {2011},
 title = {Lexikon der Informatik},
 keywords = {Informatique;Internet;Ordinateurs personnels;Dictionnaires},
 address = {Heidelberg},
 edition = {15., {\"u}berarb. Aufl},
 publisher = {Springer}
}

@book{Capriolo.2012,
 abstract = {{\dq}Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop's data warehouse infrastructure. You'll quickly learn how to use Hive's SQL dialect- Hive QL- to summarize, query, and analyze large datasets stored in Hadoop's distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You'll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabyes of data.{\dq}--P. [4] of cover.},
 author = {Capriolo, Edward and Wampler, Dean and Rutherglen, Jason},
 year = {2012},
 title = {Programming Hive},
 keywords = {Hive QL (Computer program language);Data warehousing;Database management},
 address = {Sebastopol and CA},
 edition = {1},
 publisher = {O'Reilly {\&} Associates},
 isbn = {1449319335}
}

@book{White.2012,
 author = {White, Tom},
 year = {2012},
 title = {Hadoop: The definitive guide},
 keywords = {File organization (Computer science)},
 address = {Farnham and Sebastopol and Calif},
 edition = {3},
 publisher = {O'Reilly},
 isbn = {1449311520}
}

@book{Zikopoulos.2012,
 abstract = {{\dq}Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data-volume, variety, and velocity-are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide.{\dq}--p. 4 of cover},
 author = {Zikopoulos, Paul},
 year = {2012},
 title = {Understanding big data: Analytics for enterprise class Hadoop and streaming data},
 address = {New York},
 publisher = {McGraw-Hill},
 isbn = {978-0-07-179053-6}
}

@inproceedings{SethGilbert.2002,
 author = {{Seth Gilbert} und {Nancy Lynch}},
 title = {Brewer's Conjecture and the Feasibility of Consistent Available Partition-Tolerant Web Services},
 pages = {2002},
 booktitle = {In ACM SIGACT News},
 year = {2002}
}

@incollection{Ihrig.2013,
 author = {Ihrig, ColinJ.},
 title = {JavaScript Object Notation},
 url = {http://dx.doi.org/10.1007/978-1-4302-5861-2\_17},
 pages = {263-270},
 publisher = {Apress},
 booktitle = {Pro Node.js for Developers},
 year = {2013}
}














